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Document Workflow String Normalisation
x402
Document Workflow String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Normalises string fields in document workflow records (department names, row IDs, dates) across up to 200 typed rows with local data-quality processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document workflow - String normalisation: String normalisation for Document workflow. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded string normalisation deliverable.
Output
Returns up to 200 processed records with normalised string fields (department names, row IDs, date strings) after local data-quality transformations. No external enrichment is applied; output is a bounded, cleaned version of the submitted rows.
Example use cases
Standardising department labels before reporting
“I've pulled document workflow records from three regional offices and the department names are all over the place — some say 'HR', some say 'h.r.', some say 'Human Resources'. Can you normalise the string fields across these 50 rows so the department column is consistent before I run my monthly report?”
Cleaning row IDs for ETL pipeline
“Before I load my document processing data into the warehouse, I need the row IDs and department strings normalised — I have 120 rows with dates from 2026-09-01 to 2026-09-30, documents counts, and processing minutes. Can you clean those string fields up?”
Data quality check on incoming workflow batch
“We just received a batch of 80 document workflow records from a vendor and the string fields look messy — inconsistent casing on department names and malformed row identifiers. Can you run string normalisation on these rows so I can validate the data before we accept it?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-document-workflow-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local string normalisation on document workflow records (up to 200 rows) without external API dependencies. It is best suited for pre-processing department names, row identifiers, and dates before loading into analytics pipelines or reporting tools. Prefer alternatives if you need ML-based entity resolution, semantic deduplication, or enrichment from external data sources.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, department, date, documents, processing_minutes) causes record rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail validation
- Numeric fields outside the allowed range trigger boundary errors
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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